Articles
Google Analytics introduced two predictive metrics to App + Web properties this July, which focus on purchase and churn probability.
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Lack of transparency into machine learning behavior causes issues of trust. Businesses must overcome these issues before it can adapt and use AI technology.
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No question that predictive analytics is a hot topic but according to recent data more than half of CEOs don't trust the accuracy of their data. Here's why.
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Predictive technology helps companies use historical and behavioral data to anticipate decisions their customers will make in the future.
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Delivering credible forward-looking marketing-generated pipeline forecasts helps marketer's secure more funding and level the power equation in organizations
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Machine learning and analytics are terms that are often interchanged. While there are differences, they are, in fact, very similar.
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We have access to more data than ever before — so why are we still so bad at finding the information we need to inform strategic decisions?
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Databricks, a San Francisco-based business and customer analytics platform, will double its engineering staff, build out its analytics suite using artificial intelligence (AI), focus on specific verticals and expand globally thanks to a $140 million investment.
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When Qualtrics raised $180 million in a Series C funding round in April, it was pretty clear it had something big in the works.
Now we know what it is.
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Lattice Engines updated its Predictive Insights Platform to give B2B marketers and sales reps deeper insights beyond traditional demographics on customers and prospects.
The update improves data access and targeting and builds off the platform's existing artificial intelligence capabilities.
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Customers have never held more power or had more choices. We demand service when we want it, where we want it and how we want it — and organizations scramble to keep up with our demands.
And yet ...
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Data and analytics have become so intertwined with marketing strategy it’s no longer acceptable to say you’re a marketer "but not a numbers person."
Marketing used to be strictly an art, not a science.
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Machine learning and artificial intelligence have made huge strides in the recent past, from self-driving cars to Watson as Jeopardy champion to computers that can compose classical music and beat us at chess. But do any of these notable achievements mean that machines can anticipate our behavior online?
Humans aren’t predictable.
Not yet
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Traditional segmentation for marketing purposes will soon be overtaken by predictive analytics — learning from large volumes of data to segment customer databases based on forecasted future trends, estimated future actions, and much more.
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